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在集装箱多式联运中,集装箱箱型和运输方式的组合优化直接关系到货物运输的时间、费用和质量。考虑运输需求量为模糊情况下,建立集装箱多式联运箱型和运输方式的优化模型,实现集装箱多式联运总成本最优化,并提出模型求解的改进型粒子蚁群算法。最后结合算例对模型进行应用分析,并分析箱型替代和运输交货期限的变化对多式联运总成本的影响。结果表明:承运人可根据不同运输需要实现集装箱运输规模效益,提高集装箱利用率;时间限制对承运人选择集装箱箱型和运输方式的影响较大;改进型粒子蚁群算法优于蚁群算法。
In container multimodal transport, the combination and optimization of container type and mode of transport are directly related to the time, cost and quality of the goods transport. Considering the fuzzy transportation demand, an optimal model of container intermodal container transport and mode of transport is established to optimize the total cost of container intermodal transport and propose an improved particle swarm optimization algorithm. Finally, an example is used to analyze the application of the model, and the influence of box-type substitution and the change of delivery deadline on the total cost of multimodal transport is analyzed. The results show that the carrier can realize the economies of scale of container transportation according to different transportation needs and improve the container utilization rate. The time limit has a great influence on the choice of container type and mode of transportation by carriers. The improved particle ant colony algorithm is superior to ant colony algorithm.